GenAI in Dual-Use Biosafety Risk Fundamentals by Tonex
The emergence of Generative AI (GenAI) has introduced a new layer of complexity to biosafety and biosecurity. This course investigates the dual-use risks posed by GenAI, especially in synthetic biology, CRISPR guide design, and gain-of-function research. By analyzing how GenAI might be misapplied to accelerate dangerous biotechnological developments, participants will gain critical insight into responsible AI deployment in biological contexts. The course also explores cybersecurity implications, including the risk of unauthorized genomic data generation and algorithmic manipulation. Strengthening AI safety through prompt filtering, governance, and red-teaming practices is emphasized to prevent cyber-biothreat convergence.
Audience:
- Bioethics professionals
- Biodefense analysts
- AI safety professionals
- Synthetic biology researchers
- Government and policy makers
- Cybersecurity professionals
Learning Objectives:
- Understand how GenAI poses dual-use biosafety risks
- Identify potential misuse vectors involving synthetic biology
- Apply prompt filtering to block misuse of genomic data
- Evaluate LLM-based red-teaming in synthetic gene design
- Analyze ethical and regulatory frameworks for AI in biology
- Link cybersecurity policies to biosafety risk mitigation
Course Modules:
Module 1: GenAI and Biosafety Risks
- Overview of GenAI capabilities in life sciences
- Emerging misuse cases in biology-related LLM applications
- CRISPR design automation and biosecurity concerns
- Gain-of-function enhancement through AI tools
- Bioethics of knowledge diffusion via GenAI
- Case studies: Dual-use precedents in AI-bio interface
Module 2: Prompt Filters for Genomic Misuse
- Principles of secure prompt engineering
- Detecting dual-use intent in AI-generated outputs
- Filtering CRISPR guide sequence prompts
- Building LLM guardrails for synthetic gene design
- Risk scoring for biological data prompts
- Policy-driven prompt curation examples
Module 3: Synthetic Gene Red-Teaming
- Red-teaming AI models for synthetic biology misuse
- Designing adversarial prompts to test GenAI limits
- Evaluating model guardrails under stress scenarios
- Reporting frameworks for dual-use model outputs
- Ethical implications of model probing
- Case studies from AI-bio red-teaming campaigns
Module 4: CRISPR and Gain-of-Function AI Risks
- GenAI’s role in CRISPR guide RNA automation
- Modeling gain-of-function enhancements using AI
- Regulatory blind spots in AI-augmented gene editing
- Attack surfaces from genome design toolkits
- Weaponization concerns and international conventions
- Linking AI misuse to pandemic risk scenarios
Module 5: Governance and Regulatory Strategies
- Global standards for dual-use GenAI regulation
- Role of AI safety boards and bioethics councils
- Aligning cybersecurity and biosafety governance
- AI disclosure practices in synthetic biology
- Export control frameworks and knowledge security
- Transparency vs. suppression: Ethical tradeoffs
Module 6: Cybersecurity and GenAI Biosafety
- Digital threats in synthetic bio-toolchain pipelines
- AI model exfiltration of sensitive biological data
- Genome database poisoning and LLM hallucination
- Securing cloud-based bioinformatics tools
- Role of Zero Trust in biosafety ecosystems
- Cyber-defense for GenAI labs and facilities
Join this critical Tonex course to explore how to defend the intersection of AI, cybersecurity, and biosafety. Gain the tools and strategies necessary to prevent GenAI misuse in synthetic biology and ensure a safe technological future.